Harnessing AI-powered data extraction can streamline information processing, but ensuring control, security, and compliance is crucial. In this session, we will explore practical strategies for integrating intelligent pre-processing workflows that extract only the necessary information while maintaining data security and regulatory compliance.

Key Topics Covered

• AI-Powered Extraction Techniques: Learn how to use key-value pair extraction, OCR (Optical Character Recognition), and Intelligent Document Processing (IDP) to extract targeted data efficiently.
• Minimizing Data Exposure: Discover methods to process and filter sensitive data before submission to Large Language Models (LLMs) or other external services, reducing privacy risks.
• On-Premise vs. Cloud Processing: Explore the advantages of embedding SDKs directly into applications to keep workflows behind firewalls, ensuring compliance with privacy regulations while minimizing external dependencies.
• Building Secure and Scalable Workflows: Learn how to architect efficient, AI-enhanced data workflows that optimize performance while maintaining data integrity and security.

This session provides actionable insights into building robust, AI-powered data extraction systems that balance efficiency, cost, and compliance, allowing developers to harness AI’s potential without compromising security.

Target Audience

Designed for Developers and Software Engineers who want to implement AI-powered data extraction securely and efficiently, this session is also valuable for Architects and Security Specialists looking to maintain privacy, compliance, and performance in AI-driven applications.